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Related Experiment Video

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Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats

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Using classification trees to detect induced sow lameness with a transient model.

C E Abell¹, A K Johnson¹, L A Karriker²

¹1 Department of Animal Science, Iowa State University, Ames, Iowa 50011, USA.

Animal : an International Journal of Animal Bioscience

|May 21, 2014

Summary

This summary is machine-generated.

Early detection of sow lameness is crucial for timely treatment and improved welfare. Weight distribution measurements are more accurate than gait analysis for identifying lameness in sows, aiding producers in making better herd management decisions.

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Area of Science:

Animal Science
Veterinary Medicine
Agricultural Engineering

Background:

Leg and foot problems are primary reasons for removing sows in the U.S. swine industry.
Timely lameness detection in breeding herds improves treatment decisions and sow salvage value.

Purpose of the Study:

Compare the predictive abilities of weight distribution and gait measures for detecting induced lameness in sows.
Evaluate these measures against visual lameness detection methods.
Develop an objective lameness diagnosis algorithm for early identification and herd management.

Main Methods:

Chemically induced lameness in 24 multiparous sows.
Measured weight distribution and walking gait in the days following induction.
Utilized linear mixed models and classification tree analysis to assess data.

Main Results:

Mean weight distribution on each leg was the most predictive indicator of lameness.
Weight distribution measurements demonstrated higher predictive accuracy than gait measurements.
Predictive ability decreased as days post-lameness induction increased, with specific error rates noted for front and rear leg injections.

Conclusions:

Objective lameness detection using weight distribution can enhance sow lifetime productivity and animal welfare.
Early identification of lameness allows for timely interventions, benefiting both the animal and the producer.
Weight distribution analysis offers a more reliable method for diagnosing sow lameness compared to gait analysis.